mirror of
https://github.com/wassname/mammoviews.git
synced 2026-06-27 16:10:25 +08:00
dependabot[bot]
d6bb5d3571
Bumps [pillow](https://github.com/python-pillow/Pillow) from 4.1.1 to 8.1.1. - [Release notes](https://github.com/python-pillow/Pillow/releases) - [Changelog](https://github.com/python-pillow/Pillow/blob/master/CHANGES.rst) - [Commits](https://github.com/python-pillow/Pillow/compare/4.1.1...8.1.1) Signed-off-by: dependabot[bot] <support@github.com>
Code for automatic labeling of special diagnostic mammography views from images and DICOM headers
Reference: DOI: 10.1007/s10278-018-0154-z
DICOM
Extract selected fields from DICOM headers
dicom_header_extraction/extract_dicom_headers_w_generator_150K.py
Normalize / expand data
dicom_header_extraction/normalize_selected_dcm_headers.py
Machine learning on DICOM headers
caret_on_headers.R # most methods
caret_on_headers_nona.R # GLMNET
Image pipeline
Preprocessing
originally DICOMs were converted to 299x299 PNGs using convert_dicom_list_to_png.sh script
Weight files are available here
General image model
-
scripts and config files:
image_classifiers/e5ce2d69b035975cb5336cec0da9a32a -
weight file:
model-272-general-e5ce2d69b035975cb5336cec0da9a32a.hdf5
Wire localization model
-
scripts and config files:
image_classifiers/e8e71fc090141d7c6fb334359152d295 -
weight file:
model-134-wire-e8e71fc090141d7c6fb334359152d295.hdf5
Visualization of performance metrics
Scripts used to generate Fig. 1
combine_predictions_hdr_and_img.ipynb
visualize_predictions_hdr_and_img.ipynb
Significance tests
Scripts used to generate Supplementary Figures S1 & S2
calc_auroc_confidence_intervals.R
plot_auroc_difference_pvalue.ipynb